java.lang.Object
mulan.classifier.MultiLabelLearnerBase
mulan.classifier.lazy.MultiLabelKNN
mulan.classifier.lazy.BRkNN
All Implemented Interfaces:
Serializable, MultiLabelLearner, TechnicalInformationHandler
public class BRkNN
extends MultiLabelKNN
Simple BR implementation of the KNN algorithm
Class implementing the base BRkNN algorithm and its 2 extensions BRkNN-a and BRkNN-b.
这个类实现了BRkNN算法和它的两个扩展算法-a和-b
For more information:
E. Spyromitros, G. Tsoumakas, I. Vlahavas, An Empirical Study of Lazy Multilabel Classification Algorithms,
Proc. 5th Hellenic Conference on Artificial Intelligence (SETN 2008), Springer, Syros, Greece, 2008. http://mlkd.csd.auth.gr/multilabel.html
BibTeX:
@inproceedings{1428385,
author = {Spyromitros, Eleftherios and Tsoumakas, Grigorios and Vlahavas, Ioannis},
title = {An Empirical Study of Lazy Multilabel Classification Algorithms},
booktitle = {SETN '08: Proceedings of the 5th Hellenic conference on Artificial Intelligence},
year = {2008},
isbn = {978-3-540-87880-3},
pages = {401--406},
doi = {http://dx.doi.org/10.1007/978-3-540-87881-0_40},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg},
}
上面都不重要，，看看学英语
Author:
Eleftherios Spyromitros-Xioufis ( espyromi@csd.auth.gr )
See Also:
Serialized Form
Nested Class Summary
static class BRkNN.ExtensionType
The two types of extensions
Field Summary
Fields inherited from class mulan.classifier.lazy.MultiLabelKNN
Fields inherited from class mulan.classifier.MultiLabelLearnerBase
featureIndices, labelIndices, numLabels
Constructor Summary
BRkNN(int numOfNeighbors)
The default constructor 默认构造函数，包含最近邻数目 BRkNN(int numOfNeighbors, BRkNN.ExtensionType ext) Constructor giving the option to select an extension of the base version 选择扩展算法类型
Method Summary
protected void buildInternal(MultiLabelInstances aTrain)
Learner specific implementation of building the model from MultiLabelInstances training data set.
从训练数据中，得到分类模型
protected void crossValidate()
Select the best value for k by hold-one-out cross-validation. k折交叉验证，优选最好结果 TechnicalInformation getTechnicalInformation() Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on. 得到技术信息
protected boolean[] labelsFromConfidences2(double[] confidences)
used for BRknn-a //
protected boolean[] labelsFromConfidences3(double[] confidences)
used for BRkNN-b (break ties arbitrarily)
protected MultiLabelOutput
makePredictionInternal(Instance instance)
weka Ibk style prediction
void setCvMaxK(int cvMaxK)
set the maximum number of neighbors to be evaluated via cross-validation
void setkSelectionViaCV(boolean flag)
mulan.classifier.lazy
Class
java.lang.ObjectBRkNN
mulan.classifier.MultiLabelLearnerBase
mulan.classifier.lazy.MultiLabelKNN
mulan.classifier.lazy.BRkNN
All Implemented Interfaces:
Serializable, MultiLabelLearner, TechnicalInformationHandler
public class BRkNN
extends MultiLabelKNN
Simple BR implementation of the KNN algorithm
Class implementing the base BRkNN algorithm and its 2 extensions BRkNN-a and BRkNN-b.
这个类实现了BRkNN算法和它的两个扩展算法-a和-b
For more information:
E. Spyromitros, G. Tsoumakas, I. Vlahavas, An Empirical Study of Lazy Multilabel Classification Algorithms,
Proc. 5th Hellenic Conference on Artificial Intelligence (SETN 2008), Springer, Syros, Greece, 2008.
http://mlkd.csd.auth.gr/multilabel.html
BibTeX:
@inproceedings{1428385,
author = {Spyromitros, Eleftherios and Tsoumakas, Grigorios and Vlahavas, Ioannis},
title = {An Empirical Study of Lazy Multilabel Classification Algorithms},
booktitle = {SETN '08: Proceedings of the 5th Hellenic conference on Artificial Intelligence},
year = {2008},
isbn = {978-3-540-87880-3},
pages = {401--406},
doi = {http://dx.doi.org/10.1007/978-3-540-87881-0_40},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg},
}
上面都不重要，，看看学英语
Author:
Eleftherios Spyromitros-Xioufis ( espyromi@csd.auth.gr )
See Also:
Serialized Form
Nested Class Summary
static class BRkNN.ExtensionType
The two types of extensions
Field Summary
Fields inherited from class mulan.classifier.lazy.MultiLabelKNN
dfunc, distanceWeighting, dontNormalize, lnn, numOfNeighbors, train, WEIGHT_INVERSE, WEIGHT_NONE, WEIGHT_SIMILARITY
Fields inherited from class mulan.classifier.MultiLabelLearnerBase
featureIndices, labelIndices, numLabels
Constructor Summary
BRkNN(int numOfNeighbors)
The default constructor 默认构造函数，包含最近邻数目
BRkNN(int numOfNeighbors, BRkNN.ExtensionType ext)
Constructor giving the option to select an extension of the base version 选择扩展算法类型
Method Summary
protected void buildInternal(MultiLabelInstances aTrain)
Learner specific implementation of building the model from MultiLabelInstances training data set.
从训练数据中，得到分类模型
protected void crossValidate()
Select the best value for k by hold-one-out cross-validation. k折交叉验证，优选最好结果
TechnicalInformation
getTechnicalInformation()
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on. 得到技术信息
protected boolean[] labelsFromConfidences2(double[] confidences)
used for BRknn-a //
protected boolean[] labelsFromConfidences3(double[] confidences)
used for BRkNN-b (break ties arbitrarily)
protected MultiLabelOutput
makePredictionInternal(Instance instance)
weka Ibk style prediction
void setCvMaxK(int cvMaxK)
set the maximum number of neighbors to be evaluated via cross-validation
void setkSelectionViaCV(boolean flag)